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Verlag: Mechanical Industry Press, 2023
ISBN 10: 7111728726 ISBN 13: 9787111728726
Sprache: Englisch
Anbieter: liu xing, Nanjing, JS, China
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2023-07 Pages: 248 Publisher: China Machine Press The main contents include an overview of intelligent visual perception technology based on deep learning. camera calibration. visual target detection. visual target segmentation. visual target tracking. pedestrian re-identification. human posture estimation. intelligent inkjet detection. intelligent form recognition. mobile robot visual perception system. intelligent human-computer interaction. etc. The bo.
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In den WarenkorbPaperback. Zustand: Brand New. 450 pages. 9.25x7.50x1.18 inches. In Stock.
Verlag: Academic Press 2022-02-15, 2022
ISBN 10: 0323857876 ISBN 13: 9780323857871
Sprache: Englisch
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Verlag: Elsevier Science & Technology Mär 2022, 2022
ISBN 10: 0323857876 ISBN 13: 9780323857871
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.
Verlag: Elsevier Science & Technology, 2022
ISBN 10: 0323857876 ISBN 13: 9780323857871
Sprache: Englisch
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Verlag: Elsevier Science & Technology, 2022
ISBN 10: 0323857876 ISBN 13: 9780323857871
Sprache: Englisch
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Verlag: Elsevier Science & Technology, 2022
ISBN 10: 0323857876 ISBN 13: 9780323857871
Sprache: Englisch
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In den WarenkorbZustand: New. Inhaltsverzeichnis1. Introduction 2. Neural Networks and Backpropagation 3. Convolutional Neural Networks 4. Graph Convolutional Networks 5. Recurrent Neural Networks 6. Deep Reinforcement Learning 7. Lightweight Deep Learning 8. Know.
Verlag: Elsevier Science and Technology, GB, 2022
ISBN 10: 0323857876 ISBN 13: 9780323857871
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.
Verlag: Elsevier Science and Technology, GB, 2022
ISBN 10: 0323857876 ISBN 13: 9780323857871
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.
Verlag: Continental Academy Press, London
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In den WarenkorbSoftcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Enhancing Robot Perception with Deep Learning Techniques explores the transformative impact of deep learning on robotic sensory systems. This comprehensive work examines how neural networks improve object recognition, environmental mapping, and situational awareness in autonomous systems. It emphasizes innovative methodologies that enable robots to interpret complex data streams with higher accuracy and reliability. The book discusses practical implementations, challenges, and future prospects of integrating deep learning into perception modules, making it an essential resource for advancing intelligent robotic functionalities. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
Verlag: Continental Academy Press, London
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In den WarenkorbSoftcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Deep Learning in Robot Perception Systems is a cutting-edge exploration of the potential for deep learning to revolutionize robot perception systems. By examining the latest research in deep learning and computer vision, this book demonstrates how to develop and deploy deep learning-based perception systems that enable robots to perceive and understand their environment, from object recognition and tracking to scene understanding and manipulation. From the use of convolutional neural networks and recurrent neural networks to the development of deep learning-based perception pipelines, Deep Learning in Robot Perception Systems provides a comprehensive guide to the design and implementation of deep learning-based perception systems, and equips engineers and researchers with the knowledge and skills needed to stay at the forefront of this rapidly evolving field. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
Verlag: Continental Academy Press, London
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In den WarenkorbSoftcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Deep Learning in Robot Perception Systems presents a comprehensive exploration of the intricate relationship between artificial intelligence and robotic perception. By harnessing the power of deep learning algorithms, robots can now perceive and interpret their surroundings with unprecedented accuracy. This book offers a detailed examination of the cutting-edge techniques and methodologies employed in the field, providing readers with a thorough understanding of the underlying principles and mechanisms. From the development of sophisticated computer vision systems to the integration of machine learning frameworks, Deep Learning in Robot Perception Systems offers a rich and nuanced exploration of the subject matter. By shedding light on the complex interactions between robots and their environment, this book provides a fascinating glimpse into the future of robotics and artificial intelligence. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
ISBN 10: 7030594266 ISBN 13: 9787030594266
Anbieter: liu xing, Nanjing, JS, China
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In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2019-02-01 Pages: 144 Language: Chinese Publisher: Science Press In recent years. with the rapid development of artificial intelligence technology. deep neural network technology in image analysis. speech recognition. natural language understanding and other difficult issues Zhongdu has achieved very significant application results. Regularization deep learning and its perception in the robot environment.
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In den WarenkorbZustand: new. Questo è un articolo print on demand.